该程序用于求解电力系统的中含风电机组组合的方法，稍作改动就可以用于其他情况下的机组组合问题求解。

国调培训材料，调度计划专业的算法流程，当前的调度算法思想（以SCUC/SCED为核心的 发电计划 福建电力调度控制中心 2013年7月）

关于机组组合优化的matlab程序，包含原始数据，已经输出到表格里，可直接运行

基于matlab，用yalmip工具包调用cplex求解电力系统机组组合问题，程序可运行

Lingo编写的IEEE39节点带一个风电场三个可中断负荷的多目标优化问题代码，使用了模糊理论，将多目标问题转换为单目标问题求解，只需要稍微改动，就可以运用在其他节点模型中。

用内点法编写的电力系统机组组合程序，用于求解电力系统机组组合和经济调度问题

基于遗传算法的机组组合

In this paper, we investigate the representation of wind power forecasting (WPF) uncertainty in the unit commitment (UC) problem. While deterministic approaches use a point forecast of wind power output, WPF uncertainty in the stochastic UC alternative is captured by a number of scenarios that include crosstemporal dependency. A comparison among a diversity of UC strategies (based on a set of realistic experiments) is presented. The results indicate that representing WPF uncertainty with wind power scenarios that rely on stochastic UC has advantages over deterministic approaches that mimic the classical models. Moreover, the stochastic model provides a rational and adaptive way to provide adequate spinning reserves at every hour, as opposed to increasing reserves to predefined, fixed margins that cannot account either for the system’s costs or its assumed risks.

yalmip解决电力系统机组组合问题范例1的资源分为详细介绍yalmip解决机组组合问题的文档和相应的代码。后续将继续推出相关范例

基于改进离散粒子群算法的电力系统机组组合问题